Paper
16 June 2023 Research on heave compensation predictive control algorithm of offshore crane winch
LuMeng Huang, HanQing Hao, Hao Zhang, QiLi Cui, Lei Zhang, YanTing Zhang, TianXiang Gong
Author Affiliations +
Proceedings Volume 12639, Third International Conference on Mechanical Design and Simulation (MDS 2023); 1263926 (2023) https://doi.org/10.1117/12.2681970
Event: Third International Conference on Mechanical Design and Simulation (MDS 2023), 2023, Xi'an, China
Abstract
In the heave compensation process of the offshore crane winch, there is time delay in the detection of the heave motion signal of ship, which affects the work efficiency. In order to achieve accurate prediction of ship motion, this paper has carried out research on the prediction algorithm of heave motion based on time series, established an autoregressive model (AR) of heave displacement sequence and carried out multi-step prediction simulation research on it, it is verified that the algorithm has a good prediction effect on the ship heave data. After that, an improved PID control scheme based on the motion prediction algorithm is proposed, and analyzed the influence of different control coefficients on the compensation effect of the system. Then compared the control effect of traditional PID control and the scheme proposed in this article, the effectiveness of the proposed control scheme based on forecasting algorithm is verified.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
LuMeng Huang, HanQing Hao, Hao Zhang, QiLi Cui, Lei Zhang, YanTing Zhang, and TianXiang Gong "Research on heave compensation predictive control algorithm of offshore crane winch", Proc. SPIE 12639, Third International Conference on Mechanical Design and Simulation (MDS 2023), 1263926 (16 June 2023); https://doi.org/10.1117/12.2681970
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KEYWORDS
Autoregressive models

Control systems

Data modeling

Motion models

Computer simulations

Device simulation

Motion controllers

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